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Mengdi Wang

Identifiers

  • name variant Mengdi Wang 0.60 · backfill

Papers (49)

  1. Qumus: Realization of An Embodied AI Quantum Material Experimentalist cond-mat.mes-hall · 2026 · author #16
  2. WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer cs.GR · 2026 · author #5
  3. MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory cs.CV · 2026 · author #14
  4. Learning Agent Routing From Early Experience cs.CL · 2026 · author #9
  5. Matrix-Free Multigrid with Algebraically Consistent Coarsening on Adaptive Octrees math.NA · 2026 · author #1
  6. Autogenesis: A Self-Evolving Agent Protocol cs.AI · 2026 · author #8
  7. Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning cs.LG · 2026 · author #299
  8. Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity cs.LG · 2026 · author #4
  9. FlashSampling: Fast and Memory-Efficient Exact Sampling cs.LG · 2026 · author #6
  10. OpenClaw-RL: Train Any Agent Simply by Talking cs.CL · 2026 · author #4
  11. Interactive Benchmarks cs.AI · 2026 · author #9
  12. Deep Delta Learning cs.LG · 2026 · author #3
  13. Evaluating Large Language Models in Scientific Discovery cs.AI · 2025 · author #46
  14. CryptoBench: A Dynamic Benchmark for Expert-Level Evaluation of LLM Agents in Cryptocurrency cs.CL · 2025 · author #19
  15. Higher-order Linear Attention cs.LG · 2025 · author #3
  16. ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization cs.LG · 2025 · author #3
  17. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cs.AI · 2025 · author #27
  18. ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning cs.AI · 2025 · author #7
  19. Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary cs.AI · 2025 · author #6
  20. MMaDA: Multimodal Large Diffusion Language Models cs.CV · 2025 · author #7
  21. PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking cs.LG · 2025 · author #8
  22. Relative Translation Invariant Wasserstein Distance cs.LG · 2024 · author #4
  23. Feature-Based Q-Learning for Two-Player Stochastic Games cs.LG · 2019 · author #3
  24. RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization cs.LG · 2019 · author #2
  25. Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound cs.LG · 2019 · author #2
  26. Learning to Control in Metric Space with Optimal Regret cs.LG · 2019 · author #3
  27. Sample-Optimal Parametric Q-Learning Using Linearly Additive Features cs.LG · 2019 · author #2
  28. Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks cs.CV · 2018 · author #1
  29. Towards Coherent and Cohesive Long-form Text Generation cs.CL · 2018 · author #7
  30. Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains math.OC · 2018 · author #2
  31. Diffusion Approximations for Online Principal Component Estimation and Global Convergence stat.ML · 2018 · author #2
  32. Near-Optimal Time and Sample Complexities for Solving Discounted Markov Decision Process with a Generative Model math.OC · 2018 · author #2
  33. Scalable Bilinear $\pi$ Learning Using State and Action Features cs.LG · 2018 · author #3
  34. Estimation of Markov Chain via Rank-Constrained Likelihood stat.ML · 2018 · author #2
  35. Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization cs.LG · 2018 · author #3
  36. Approximation Methods for Bilevel Programming math.OC · 2018 · author #2
  37. Multi-Level Stochastic Gradient Methods for Nested Composition Optimization math.OC · 2018 · author #2
  38. Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality cs.LG · 2017 · author #2
  39. Primal-Dual $\pi$ Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems cs.LG · 2017 · author #1
  40. Online Factorization and Partition of Complex Networks From Random Walks cs.LG · 2017 · author #4
  41. Lower Bound On the Computational Complexity of Discounted Markov Decision Problems cs.CC · 2017 · author #2
  42. Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time math.OC · 2017 · author #1
  43. Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning stat.ML · 2016 · author #2
  44. Finite-sum Composition Optimization via Variance Reduced Gradient Descent math.OC · 2016 · author #2
  45. Accelerating Stochastic Composition Optimization math.OC · 2016 · author #1
  46. Near-Optimal Stochastic Approximation for Online Principal Component Estimation math.OC · 2016 · author #2
  47. Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints stat.ML · 2015 · author #1
  48. Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions math.OC · 2015 · author #3
  49. Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions stat.ML · 2014 · author #1

Mentions

  • 2409.02416 #4 · arxiv_oai · confidence 0.70 Mengdi Wang
  • 2604.15034 #8 · arxiv_oai · confidence 0.70 Mengdi Wang
  • 2605.18407 #16 · arxiv_oai · confidence 0.70 Mengdi Wang
  • 2605.15305 #5 · arxiv_oai · confidence 0.70 Mengdi Wang
  • 2512.00417 #19 · arxiv_oai · confidence 0.70 Mengdi Wang
  • 2603.04737 #9 · arxiv_oai · confidence 0.70 Mengdi Wang

Frequent Coauthors